The book discusses intelligent system design using soft computing and similar systems and their interdisciplinary applications. It also focuses on the recent trends to use soft computing as a versatile tool for designing a host of decision support systems.
| ISBN: | 9788132235156 |
| Publication date: | 3rd September 2016 |
| Author: | Mousmita Sarma, Kandarpa Kumar Sarma |
| Publisher: | Springer an imprint of Springer India |
| Format: | Paperback |
| Pagination: | 187 pages |
| Series: | Studies in Computational Intelligence |
| Genres: |
Artificial intelligence Digital signal processing (DSP) Electronics engineering Algorithms and data structures |
The book discusses intelligent system design using soft computing and similar systems and their interdisciplinary applications. It also focuses on the recent trends to use soft computing as a versatile tool for designing a host of decision support systems.
Phoneme-Based Speech Segmentation Using Hybrid Soft Computing Framework features in the following genres: Artificial intelligence, Digital signal processing (DSP), Electronics engineering, Algorithms and data structures
Paperback, Hardback. Not Available.
Phoneme-Based Speech Segmentation Using Hybrid Soft Computing Framework was written by Mousmita Sarma, Kandarpa Kumar Sarma and published by Springer an imprint of Springer India
Phoneme-Based Speech Segmentation Using Hybrid Soft Computing Framework has 187 pages
Yes it is part of Studies in Computational Intelligence series